{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/135482"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/135482","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Dynamic Architecture Flow Optimization for Capability-Based Assessment of Naval Ship Design","abstract":"This thesis details the improvement and implementation of a Dynamic Architecture Flow Optimization (DAFO) tool for Combat, Power, and Energy System (CPES) design in naval surface ship concept development. As a continuation of earlier work, the DAFO has been refined using matrix-based methods with further development towards implementing capability-based design. The DAFO responds to capability requests to support dynamic operational situations (OPSITs) in a Warfighting Model and enables optimized and feasible warfighting reconfiguration under both intact and damage conditions. This involves maximizing the effectiveness of the CPES and providing capabilities over multiple time steps while interfacing with a Ship Synthesis Model (SSM). The SSM connection provides the required physical and logical architectures and other constraints for a particular ship design. The DAFO interacts with multiple models, including a Warfighting Model, Ship Operational Model, and Mission Capability Model. These models, along with the DAFO, are called Ship Behavior and Interaction Models (SBIMs). These models are essential when determining operational effectiveness in OPSITs as they are at the intersection between the physical, operational, and logical architectures of the ship system. With the new matrix-based solution, the ship system's logical architecture is described by a network of vital energy and data component (VC) vertices and edges with their associated adjacency matrix. These VCs are interdependent, with edges linking energy and data flow and allowing capability and effectiveness-based dependencies to be established, driven entirely by flow and based on requested capabilities and warfighting priorities. This network is the basis for matrix operations and a linear programming solution with enhanced computational efficiency. This refinement provides the necessary processing speed for rapid solution of dynamic mission scenarios and effectively manages the complexity of a large ship multi-commodity system of systems.","abstract_html":"This thesis details the improvement and implementation of a Dynamic Architecture Flow Optimization (DAFO) tool for Combat, Power, and Energy System (CPES) design in naval surface ship concept development. As a continuation of earlier work, the DAFO has been refined using matrix-based methods with further development towards implementing capability-based design. The DAFO responds to capability requests to support dynamic operational situations (OPSITs) in a Warfighting Model and enables optimized and feasible warfighting reconfiguration under both intact and damage conditions. This involves maximizing the effectiveness of the CPES and providing capabilities over multiple time steps while interfacing with a Ship Synthesis Model (SSM). The SSM connection provides the required physical and logical architectures and other constraints for a particular ship design. The DAFO interacts with multiple models, including a Warfighting Model, Ship Operational Model, and Mission Capability Model. These models, along with the DAFO, are called Ship Behavior and Interaction Models (SBIMs). These models are essential when determining operational effectiveness in OPSITs as they are at the intersection between the physical, operational, and logical architectures of the ship system. With the new matrix-based solution, the ship system's logical architecture is described by a network of vital energy and data component (VC) vertices and edges with their associated adjacency matrix. These VCs are interdependent, with edges linking energy and data flow and allowing capability and effectiveness-based dependencies to be established, driven entirely by flow and based on requested capabilities and warfighting priorities. This network is the basis for matrix operations and a linear programming solution with enhanced computational efficiency. This refinement provides the necessary processing speed for rapid solution of dynamic mission scenarios and effectively manages the complexity of a large ship multi-commodity system of systems.","abstract_has_math":false,"creators":["Kidd, MaKenzie Lane"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Ocean Engineering","degree_department":"Aerospace and Ocean Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":["Brown, Alan J."],"committee_members":["Parsons, Mark Allen","Brizzolara, Stefano"],"year":2025,"date_issued":"2025-06-11","date_published":"2025-06-11","updated_at":"2026-07-22T22:19:18Z","subjects":["Dynamic Architecture Flow Optimization","Architecture Flow Optimization","Logical Architecture","Capability Model","Warfighting Model"],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:44245"],"render_values":[{"text":"vt_gsexam:44245","href":null,"code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10919/135482","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Brown, Alan J."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Parsons, Mark Allen","Brizzolara, Stefano"]},{"key":"dc:contributor.department","label":"Department","values":["Aerospace and Ocean Engineering"]},{"key":"dc:creator","label":"Author","values":["Kidd, MaKenzie Lane"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-06-12T08:00:41Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-06-12T08:00:41Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-06-11"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Ocean Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Dynamic Architecture Flow Optimization","Architecture Flow Optimization","Logical Architecture","Capability Model","Warfighting Model"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:44245"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10919/135482"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis details the improvement and implementation of a Dynamic Architecture Flow Optimization (DAFO) tool for Combat, Power, and Energy System (CPES) design in naval surface ship concept development. As a continuation of earlier work, the DAFO has been refined using matrix-based methods with further development towards implementing capability-based design. The DAFO responds to capability requests to support dynamic operational situations (OPSITs) in a Warfighting Model and enables optimized and feasible warfighting reconfiguration under both intact and damage conditions. This involves maximizing the effectiveness of the CPES and providing capabilities over multiple time steps while interfacing with a Ship Synthesis Model (SSM). The SSM connection provides the required physical and logical architectures and other constraints for a particular ship design. The DAFO interacts with multiple models, including a Warfighting Model, Ship Operational Model, and Mission Capability Model. These models, along with the DAFO, are called Ship Behavior and Interaction Models (SBIMs). These models are essential when determining operational effectiveness in OPSITs as they are at the intersection between the physical, operational, and logical architectures of the ship system. With the new matrix-based solution, the ship system's logical architecture is described by a network of vital energy and data component (VC) vertices and edges with their associated adjacency matrix. These VCs are interdependent, with edges linking energy and data flow and allowing capability and effectiveness-based dependencies to be established, driven entirely by flow and based on requested capabilities and warfighting priorities. This network is the basis for matrix operations and a linear programming solution with enhanced computational efficiency. This refinement provides the necessary processing speed for rapid solution of dynamic mission scenarios and effectively manages the complexity of a large ship multi-commodity system of systems."]},{"key":"dc:description.abstractgeneral","label":"General Abstract","values":["This thesis details the improvement and implementation of a Dynamic Architecture Flow Optimization (DAFO) tool. Prior research regarding an Architecture Flow Optimization (AFO) introduced a matrix-based method for performing optimizations using the linear program CPLEX. This new DAFO implementation uses matrix-based methods with further development towards implementing a capability-based design approach for Combat, Power, and Energy Systems (CPES) design in naval surface ship concept development. The DAFO responds to capability requests to support dynamic operational situations (OPSITs) in a Warfighting Model and enables optimized and feasible warfighting reconfiguration under both intact and damage conditions. This involves maximizing the effectiveness of CPES and providing capabilities over multiple time steps while interfacing with a Ship Synthesis Model (SSM). The SSM connection provides the required physical and logical architectures and other constraints for a particular ship design. The DAFO interacts with multiple models, including a Warfighting Model, Ship Operational Model, and Mission Capability Model. These models, along with the DAFO, are called the Ship Behavior and Interaction Models (SBIMs). These interfaces are essential when determining operational effectiveness in OPSITs as they are at the intersection between the physical, operational, and logical architectures of the ship system. With the new matrix-based solution, the ship system's logical architecture is described with vertices and edges representing a network of vital energy and data components (VCs) and their connections, respectively. These VCs are interdependent with edges linking energy and data flow, allowing capability and effectiveness-based dependencies to be established, driven entirely by flow based on requested capabilities and warfighting priorities. This network is the basis for matrix operations and a linear programming solution incorporated into the DAFO's refinement. Utilizing this novel approach has greatly enhanced the Dynamic Architecture Flow Optimization's computational efficiency, enabling rapid solution of dynamic mission scenarios while effectively managing the complexity of a large ship multi-commodity system of systems."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["ETD"]},{"key":"dc:title","label":"Title","values":["Dynamic Architecture Flow Optimization for Capability-Based Assessment of Naval Ship Design"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Brown, Alan J."],"dc:contributor.committeemember":["Parsons, Mark Allen","Brizzolara, Stefano"],"dc:contributor.department":["Aerospace and Ocean Engineering"],"dc:creator":["Kidd, MaKenzie Lane"],"dc:date.accessioned":["2025-06-12T08:00:41Z"],"dc:date.available":["2025-06-12T08:00:41Z"],"dc:date.issued":["2025-06-11"],"dc:description.abstract":["This thesis details the improvement and implementation of a Dynamic Architecture Flow Optimization (DAFO) tool for Combat, Power, and Energy System (CPES) design in naval surface ship concept development. As a continuation of earlier work, the DAFO has been refined using matrix-based methods with further development towards implementing capability-based design. The DAFO responds to capability requests to support dynamic operational situations (OPSITs) in a Warfighting Model and enables optimized and feasible warfighting reconfiguration under both intact and damage conditions. This involves maximizing the effectiveness of the CPES and providing capabilities over multiple time steps while interfacing with a Ship Synthesis Model (SSM). The SSM connection provides the required physical and logical architectures and other constraints for a particular ship design. The DAFO interacts with multiple models, including a Warfighting Model, Ship Operational Model, and Mission Capability Model. These models, along with the DAFO, are called Ship Behavior and Interaction Models (SBIMs). These models are essential when determining operational effectiveness in OPSITs as they are at the intersection between the physical, operational, and logical architectures of the ship system. With the new matrix-based solution, the ship system's logical architecture is described by a network of vital energy and data component (VC) vertices and edges with their associated adjacency matrix. These VCs are interdependent, with edges linking energy and data flow and allowing capability and effectiveness-based dependencies to be established, driven entirely by flow and based on requested capabilities and warfighting priorities. This network is the basis for matrix operations and a linear programming solution with enhanced computational efficiency. This refinement provides the necessary processing speed for rapid solution of dynamic mission scenarios and effectively manages the complexity of a large ship multi-commodity system of systems."],"dc:description.abstractgeneral":["This thesis details the improvement and implementation of a Dynamic Architecture Flow Optimization (DAFO) tool. Prior research regarding an Architecture Flow Optimization (AFO) introduced a matrix-based method for performing optimizations using the linear program CPLEX. This new DAFO implementation uses matrix-based methods with further development towards implementing a capability-based design approach for Combat, Power, and Energy Systems (CPES) design in naval surface ship concept development. The DAFO responds to capability requests to support dynamic operational situations (OPSITs) in a Warfighting Model and enables optimized and feasible warfighting reconfiguration under both intact and damage conditions. This involves maximizing the effectiveness of CPES and providing capabilities over multiple time steps while interfacing with a Ship Synthesis Model (SSM). The SSM connection provides the required physical and logical architectures and other constraints for a particular ship design. The DAFO interacts with multiple models, including a Warfighting Model, Ship Operational Model, and Mission Capability Model. These models, along with the DAFO, are called the Ship Behavior and Interaction Models (SBIMs). These interfaces are essential when determining operational effectiveness in OPSITs as they are at the intersection between the physical, operational, and logical architectures of the ship system. With the new matrix-based solution, the ship system's logical architecture is described with vertices and edges representing a network of vital energy and data components (VCs) and their connections, respectively. These VCs are interdependent with edges linking energy and data flow, allowing capability and effectiveness-based dependencies to be established, driven entirely by flow based on requested capabilities and warfighting priorities. This network is the basis for matrix operations and a linear programming solution incorporated into the DAFO's refinement. Utilizing this novel approach has greatly enhanced the Dynamic Architecture Flow Optimization's computational efficiency, enabling rapid solution of dynamic mission scenarios while effectively managing the complexity of a large ship multi-commodity system of systems."],"dc:description.degree":["Master of Science"],"dc:format.medium":["ETD"],"dc:identifier.other":["vt_gsexam:44245"],"dc:identifier.uri":["https://hdl.handle.net/10919/135482"],"dc:language.iso":["en"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Dynamic Architecture Flow Optimization","Architecture Flow Optimization","Logical Architecture","Capability Model","Warfighting Model"],"dc:title":["Dynamic Architecture Flow Optimization for Capability-Based Assessment of Naval Ship Design"],"dc:type":["Thesis"],"thesis:degree_discipline":["Ocean Engineering"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:18Z"}